Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Latent Variable Modeling"”.
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Complex latent variable modeling for multivariate hierarchical data
… independent chapters, the stepwise multilevel latent class analysis with covariates methodological framework. In recent decades, the latent class analysis methodological scholarship has developed sophisticated methodologies, including innovative estimation approaches and open-source software …
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Probabilistic latent variable modeling for predicting future well-being and assessing behavioral influences on mood, stress and health
In recent years, there has been a shift in the psychological research literature from an emphasis on dysfunction to a focus on well-being and positive mental health. As a result, enhancing well-being in individuals has become a viable approach to improving health, in addition to treating disorders …
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Toward a Theory of Individual Differences and Leadership: Understanding the Motivation to Lead
… MTL. Using a data-driven hierarchical regression modeling approach, consistencies in the patterns of antecedents to each of the three MTL factors are observed that are reasonable and theoretically justifiable. A revised, parsimonious model is developed from the findings of the regression analyses, …
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Computational Dissection of Composite Molecular Signatures and Transcriptional Modules
This dissertation aims to develop a latent variable modeling framework with which to analyze gene expression profiling data for computational dissection of molecular signatures and transcriptional modules. The first part of the dissertation is focused on extracting pure gene expression signals from …
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A Study of Machine Learning Approaches for Biomedical Signal Processing
… data such as gene expressions or clinical variables. We further explore the potential application of convex analysis of mixtures, a biologically inspired latent variable modeling strategy, to missing value imputation. The preliminary results on proteomics data are provided together with an …
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Examining response patterns in attitudinal and personality scales using advanced psychometric modeling techniques
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Exploring Microstructural Signatures of Physiological Stress through Cross-Sectional Geometry and Cortical Bone Histology
… ArcGIS Pro was used to manually annotate remodeling events (including osteon morphotype) and ImageJ was used to automate osteocyte lacunae counts, allowing for histomorphometrics osteon morphotype and osteocyte lacunae densities to be derived. Cross-sectional properties for each individual …
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The Structure of Working Memory: A Review and New View of Psychometric Models
… WM capacity has been conducted using traditional latent variable modeling approaches (factor models), which are based on problematic assumptions (Borsboom et al., 2003). More recently, network analysis has emerged as an attractive alternative psychometric modeling approach to study individual …